David Tang

David Tang is a Canadian who graduated from Carnegie Mellon University's School of Computer Science with a double major in Artificial Intelligence and Mathematics. He represented Canada at the International Mathematical Olympiad in 2019 and 2020, winning a bronze medal both years. His recorded roles are student-era: a Quantitative Trading Intern at Jane Street (2023) and a Deep Learning Infrastructure Engineering Intern at NVIDIA (2022), alongside research and teaching roles at CMU and the University of Toronto. No post-graduation employer is named in the sources found.

Notes6

• Career timeline is entirely student-era: Quantitative Trading Intern at Jane Street (2023), Deep Learning Infrastructure Engineering Intern at NVIDIA (2022), research/TA roles at CMU (2021-2024), math teacher at Ivy Path School (2018-2020) and research assistant at University of Toronto (2018-2019); the record stops at the 2024 CMU graduation, and no post-graduation employer is named in any source found.
• Quant employment verification: CONFIRMED for role/employer classification - a 2023 Quantitative Trading Intern role is recorded on his LinkedIn profile and Jane Street is a quantitative trading firm; the identity is corroborated by the personal site and IMO record. Evidence basis is self-reported LinkedIn data surfaced through an index (not independent primary-source confirmation) and no separate primary document (offer letter, resume, contemporaneous post) was found.
• Identity resolved: LinkedIn david-tang-583a441a1 ('AI and Math @ CMU SCS') is the same person as personal site itangdav.github.io and the IMO 2019/2020 Team Canada contestant; the site states graduation from CMU School of Computer Science with a major spanning AI and Mathematics and IMO representation for Canada in 2019 and 2020, matching the LinkedIn headline and school.
• Jane Street is a quantitative trading firm (market-making across equities, bonds, and other asset classes), so the 2023 internship is a genuine quantitative-finance role; NVIDIA is a semiconductor/GPU company and the CMU/UToronto/Ivy Path roles are academic, not finance.
• Won a bronze medal for Canada at IMO 2019 (rank 168, 73.1%, 22 points) and again at IMO 2020 (rank 272, 56%, 16 points).
• Received a CMU SURF (Summer Undergraduate Research Fellowship) award to conduct full-time research applying SAT solvers to graph theory problems, producing benchmarked SAT encodings of strongly regular and Ramsey graphs.
• Built and published a complete enumeration of non-triangle-free edge-regular graphs (Database of ERGs) from the 2021 CMU summer research project.
• Published in the 2019-2020 edition of Review of Undergraduate Computer Science for the University of Toronto research role (Python benchmarking software 'Aiutare').
• Helped organize CMIMC (Carnegie Mellon Informatics and Mathematics Competition) and worked on its website, indicating competition-organizing involvement at CMU.
• Hack the North 2020++ project 'Havalion Castle Rescue' was built using the Ubisoft Hacker's NEST API.
• Authored a Sudoku solver suite: a modular Java algorithmic solver with backtracking and difficulty estimation, plus sudoku-variant work; lists solving sudoku variants among hobbies.
• Wrote 'FPL Data Analysis' (Jan 2025) - a data-analysis post on fantasy football - the most recent dated public post found, indicating continued independent data-analysis projects after graduation.